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Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study

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Abstract

Aims

We aimed to investigate the association between residential greenness and MetS in older Chinese adults.

Methods

Longitudinal data on sociodemographic characteristics and lifestyle were collected from the Shenzhen Healthy Ageing Research (SHARE) cohort. Greenness exposure was assessed through satellite-derived Normalized Difference Vegetation Index (NDVI) values in the 250-m, 500-m, and 1250-m radius around the residential address for each participant. MetS was defined by standard guidelines for the Chinese population.

Results

A total of 49,893 older Chinese adults with a mean age of 70.96 (SD = 5.26) years were included in the study. In the fully adjusted models, participants who lived in the highest quartile of NDVI250-m, NDVI500-m, and NDVI1250-m had a 15% (odds ratio, OR = 0.85, 95% confidence interval, CI: 0.80–0.90), 12% (OR = 0.88, 95% CI: 0.83–0.93), and 11% (OR = 0.89, 95% CI: 0.85–0.95) lower incidence of MetS, respectively, than those living in the lowest quartile (all p-trend < 0.01). Interactions and subgroup analyses showed that age, sex, smoking status, and drinking status were significant effect modifiers (p-interaction for all NDVI < 0.05).

Conclusions

Residential greenness is associated with a lower risk of MetS in Chinese older adults, especially for young older adults, females, non-smokers, and non-drinkers.

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Abbreviations

SHARE:

Shenzhen healthy ageing research cohort

NDVI:

Normalized Difference Vegetation Index

MetS:

Metabolic syndrome

MODIS:

Moderate Resolution Imaging Spectroradiometer

TC:

Cholesterol

TG:

Triglyceride

LDL-C:

Low-density lipoprotein cholesterol

HDL-C:

High-density lipoprotein cholesterol

WC:

Waist circumference

FBG:

Fasting blood glucose

NCEP/ATP III:

National Cholesterol Education Program/Adult Treatment Panel III Criteria

IDF:

International Diabetes Federation

CDS:

Chinese Diabetes Society

References

  1. Xie Y, Xiang H, Di N et al (2020) Association between residential greenness and sleep quality in Chinese rural population. Environ Int 145:106100. https://doi.org/10.1016/j.envint.2020.106100

    Article  Google Scholar 

  2. Chen H, Burnett RT, Bai L et al (2020) Residential greenness and cardiovascular disease incidence, readmission, and mortality. Environ Health Perspect 128(8):87005. https://doi.org/10.1289/ehp6161

    Article  CAS  Google Scholar 

  3. Persson Å, Pyko A, Lind T et al (2018) Urban residential greenness and adiposity: a cohort study in Stockholm County. Environ Int 121(Pt 1):832–841. https://doi.org/10.1016/j.envint.2018.10.009

    Article  CAS  Google Scholar 

  4. Ji JS, Zhu A, Lv Y, Shi X (2020) Interaction between residential greenness and air pollution mortality: analysis of the Chinese Longitudinal Healthy Longevity Survey. Lancet Planet Health 4(3):e107–e115. https://doi.org/10.1016/s2542-5196(20)30027-9

    Article  Google Scholar 

  5. Pucci G, Alcidi R, Tap L, Battista F, Mattace-Raso F, Schillaci G (2017) Sex- and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: a review of the literature. Pharmacol Re 120:34–42. https://doi.org/10.1016/j.phrs.2017.03.008

    Article  Google Scholar 

  6. Elhadad MA, Wilson R, Zaghlool SB et al (2021) Metabolic syndrome and the plasma proteome: from association to causation. Cardiovasc Diabetol 20(1):111. https://doi.org/10.1186/s12933-021-01299-2

    Article  CAS  Google Scholar 

  7. Saklayen MG (2018) The global epidemic of the metabolic syndrome. Curr Hypertens Rep 20(2):12. https://doi.org/10.1007/s11906-018-0812-z

    Article  Google Scholar 

  8. Kassi E, Pervanidou P, Kaltsas G, Chrousos G (2011) Metabolic syndrome: definitions and controversies. BMC Med 9:48. https://doi.org/10.1186/1741-7015-9-48

    Article  Google Scholar 

  9. Eckel RH, Grundy SM, Zimmet PZ (2005) The metabolic syndrome. Lancet 365(9468):1415–1428. https://doi.org/10.1016/s0140-6736(05)66378-7

    Article  CAS  Google Scholar 

  10. de Keijzer C, Basagaña X, Tonne C et al (2019) Long-term exposure to greenspace and metabolic syndrome: a Whitehall II study. Environ Pollut 255(Pt 2):113231. https://doi.org/10.1016/j.envpol.2019.113231

    Article  CAS  Google Scholar 

  11. Voss S, Schneider A, Huth C et al (2021) ENVINT-D-20-01309: long-term exposure to air pollution, road traffic noise, residential greenness, and prevalent and incident metabolic syndrome: results from the population-based KORA F4/FF4 cohort in Augsburg. Germany Environ Int 147:106364. https://doi.org/10.1016/j.envint.2020.106364

    Article  CAS  Google Scholar 

  12. Nieuwenhuijsen MJ, Khreis H, Triguero-Mas M, Gascon M, Dadvand P (2017) Fifty shades of green: pathway to healthy urban living. Epidemiology 28(1):63–71. https://doi.org/10.1097/ede.0000000000000549

    Article  Google Scholar 

  13. Xi B, He D, Hu Y, Zhou D (2013) Prevalence of metabolic syndrome and its influencing factors among the Chinese adults: the China Health and Nutrition Survey in 2009. Prev Med 57(6):867–871. https://doi.org/10.1016/j.ypmed.2013.09.023

    Article  Google Scholar 

  14. Thiering E, Markevych I, Brüske I et al (2016) Associations of residential long-term air pollution exposures and satellite-derived greenness with insulin resistance in German adolescents. Environ Health Perspect 124(8):1291–1298. https://doi.org/10.1289/ehp.1509967

    Article  CAS  Google Scholar 

  15. Ji JS, Zhu A, Bai C et al (2019) Residential greenness and mortality in oldest-old women and men in China: a longitudinal cohort study. Lancet Planet Health 3(1):e17–e25. https://doi.org/10.1016/s2542-5196(18)30264-x

    Article  Google Scholar 

  16. Yang Y, Diez-Roux AV (2012) Walking distance by trip purpose and population subgroups. Am J Prev Med 43(1):11–19. https://doi.org/10.1016/j.amepre.2012.03.015

    Article  CAS  Google Scholar 

  17. James P, Hart JE, Banay RF, Laden F (2016) Exposure to greenness and mortality in a nationwide prospective cohort study of women. Environ Health Perspect 124(9):1344–1352. https://doi.org/10.1289/ehp.1510363

    Article  Google Scholar 

  18. Zhu A, Zeng Y, Ji JS (2020) Residential greenness alters serum 25(OH)D concentrations: a longitudinal cohort of Chinese older adults. J Am Med Dir Assoc 21(12):1968-1972.e2. https://doi.org/10.1016/j.jamda.2020.04.026

    Article  Google Scholar 

  19. Ni W, Yuan X, Zhang J et al (2021) Factors associated with treatment and control of hypertension among elderly adults in Shenzhen, China: a large-scale cross-sectional study. BMJ Open 11(8):e044892. https://doi.org/10.1136/bmjopen-2020-044892

    Article  Google Scholar 

  20. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) (2021) JAMA 285(19):2486–97. https://doi.org/10.1001/jama.285.19.2486

  21. Durrleman S, Simon R (1989) Flexible regression models with cubic splines. Stat Med 8(5):551–561. https://doi.org/10.1002/sim.4780080504

    Article  CAS  Google Scholar 

  22. Liao S, Zhang J, Shi S et al (2020) Association of aldehyde exposure with cardiovascular disease. Ecotoxicol Environ Saf 206:111385. https://doi.org/10.1016/j.ecoenv.2020.111385

    Article  CAS  Google Scholar 

  23. Grundy SM, Cleeman JI, Daniels SR et al (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112(17):2735–2752. https://doi.org/10.1161/circulationaha.105.169404

    Article  Google Scholar 

  24. Alberti KG, Zimmet P, Shaw J (2005) The metabolic syndrome–a new worldwide definition. Lancet 366(9491):1059–1062. https://doi.org/10.1016/s0140-6736(05)67402-8

    Article  Google Scholar 

  25. Joint Committee for Developing Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults, 2016. Chinese guideline on prevention and treatment of dyslipidemia in adults (Revised Edition 2016). Circ J 79(31):937–953. https://doi.org/10.3969/j.issn.1000-3614.2016.10.001

  26. Yang BY, Liu KK, Markevych I et al (2020) Association between residential greenness and metabolic syndrome in Chinese adults. Environ Int 135:105388. https://doi.org/10.1016/j.envint.2019.105388

    Article  Google Scholar 

  27. Wallwork RS, Colicino E, Zhong J et al (2017) Ambient fine particulate matter, outdoor temperature, and risk of metabolic syndrome. Am J Epidemiol 185(1):30–39. https://doi.org/10.1093/aje/kww157

    Article  Google Scholar 

  28. Yang BY, Qian ZM, Li S et al (2018) Long-term exposure to ambient air pollution (including PM(1)) and metabolic syndrome: the 33 Communities Chinese Health Study (33CCHS). Environ Res 164:204–211. https://doi.org/10.1016/j.envres.2018.02.029

    Article  CAS  Google Scholar 

  29. Almanza E, Jerrett M, Dunton G, Seto E, Pentz MA (2012) A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. Health Place 18(1):46–54. https://doi.org/10.1016/j.healthplace.2011.09.003

    Article  Google Scholar 

  30. Kuo M (2015) How might contact with nature promote human health? Promising mechanisms and a possible central pathway. Front Psychol 6:1093. https://doi.org/10.3389/fpsyg.2015.01093

    Article  Google Scholar 

  31. Li Q, Otsuka T, Kobayashi M et al (2011) Acute effects of walking in forest environments on cardiovascular and metabolic parameters. Eur J Appl Physiol 111(11):2845–2853. https://doi.org/10.1007/s00421-011-1918-z

    Article  CAS  Google Scholar 

  32. Cena H, Fonte ML, Turconi G (2011) Relationship between smoking and metabolic syndrome. Nutr Rev 69(12):745–753. https://doi.org/10.1111/j.1753-4887.2011.00446.x

    Article  Google Scholar 

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Acknowledgements

The authors wish to thank the physical examination participants and the community health centre staff in Shenzhen who were involved in this study. We thank our Australian colleagues the Senior Researcher A/Prof Jiang and his Assistant Mr Rowan Dowling (a native English Speaker) from School of Psychology and Public Health, La Trobe University to proof read and edit the manuscript carefully. We also would like to thank Ms. Mingdan Zhang, a master of the Institute of international rivers and eco-security, Yunnan University, for her help in remote-sensing technology.

Funding

Zhiguang Zhao was supported by the Shenzhen Medical Key Discipline Construction Fund and Sanming Project of Medicine in Shenzhen (Grant No. SZSM201811093). Wenqing Ni was supported by the Medical Scientific Research Foundation of Guangdong Province, China (Grant Number A2022082). Role of the Funder/Sponsor The funders had no role in the design or conduct of the study. As such, the collection, management, analysis, and interpretation of the data; preparation, review, and approval of the manuscript; and decision to submit the manuscript for publication were all free of funder involvement.

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Authors and Affiliations

Authors

Contributions

PK, ZZ, and MX: conceptualization, methodology, data curation and analysis, and original draft preparation. JX, HZ, YZ, QT, and ZL: technical support and critical revision of the manuscript. MX, WN, XY, and YS: technical support and obtained funding. As a Senior Researcher, A/Prof HJ has made significant contributions to the revision of the language of this manuscript. Rowan Dowling proof read and edit the manuscript carefully. ZL, ZZ, and HJ: conceptualization, administrative support, and supervision.

Corresponding authors

Correspondence to H. Jiang, Z. Zhao or Z. Lu.

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Conflict of interest

The authors have no competing interests to declare.

Ethics approval

The study was approved by the Shenzhen Center for Chronic Disease Control Human Ethics Committee (No. SZCCC-2021-061-01-PJ).

Research involving human participants or animals 

Our study was approved by the Institution's Ethics Committee "The study was approved by the Shenzhen Center for Chronic Disease Control Human Ethics Committee (No. SZCCC-2021-061-01-PJ)." Meanwhile, The Shenzhen Center for Chronic Disease Control Human Ethics Committee informed this study with an exemption from consent requirements, since claims data were provided anonymously.

Consent to participate

The Shenzhen Center for Chronic Disease Control Human Ethics Committee provided this study with an exemption from informed consent requirements, since claims data were provided anonymously.

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Our study has not been published previously.

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Ke, P., Xu, M., Xu, J. et al. Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 46, 327–335 (2023). https://doi.org/10.1007/s40618-022-01904-5

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  • DOI: https://doi.org/10.1007/s40618-022-01904-5

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